Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jianwen Cai"'
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 71:1137-1157
In medical studies, some therapeutic decisions could lead to dependent censoring for the survival outcome of interest. This is exemplified by a study of paediatric acute liver failure, where death was subject to dependent censoring due to liver trans
Autor:
Huabin Luo, Bei Wu, Hector M González, Ariana Stickel, Linda M Kaste, Wassim Tarraf, Martha L Daviglus, Anne E Sanders, Jianwen Cai
Publikováno v:
The Journals of Gerontology: Series A.
Background The objectives were to assess (a) the association between poor oral health and mild cognitive impairment (MCI) in Hispanic/Latino immigrants and (b) potential modification effects on this association by age at immigration. Methods Data wer
Autor:
Kevin Gonzalez, Wassim Tarraf, Ariana Stickel, Sonya Kaur, Christian Agudelo, Jianwen Cai, Linda Gallo, Fernando Testai, Susan Redline, Charles DeCarli, Hector Gonzalez
Publikováno v:
Sleep. 45:A146-A146
Introduction Long and short sleep have been associated with stroke and dementia. Sleep patterns may differ by sex and Hispanic/Latino background. Within Hispanics/Latinos heterogeneity in sleep outcomes exists and is understudied. The purpose of this
Autor:
Yuan Zhang, Michael Elgart, Nuzulul Kurniansya, Brian Spitzer, Heming Wang, Neomi Shah, Martha Daviglus, Zee Phylis, Jianwen Cai, Daniel Gottlieb, Brian Cade, Susan Redline, Tamar Sofer
Publikováno v:
Sleep. 45:A16-A16
Introduction Obstructive sleep apnea (OSA) often co-occurs with other health outcomes. The respiratory event index (REI), often used to define OSA, is similarly correlated with several health phenotypes. Genetic data provide an opportunity to explain
Autor:
Alessio Menditto, Concetta Sticozzi, Alessandro Malagoli, Luca Rossi, Paolo Bonelli, Federico Guerra, Alessia Zanni, Daniele Contadini, Giovanni Quinto Villani, Jianwen Cai, Alessandro Capucci, Erika Baiocco, Poulami Maitra
Publikováno v:
European Heart Journal. 40
Background According to current guidelines, left ventricular ejection fraction (LVEF) is currently the most important parameter for primary prevention of sudden cardiac death in patients with structural heart disease. Unfortunately, LVEF has low sens
Publikováno v:
Biometrika
Case-cohort designs are widely used in large cohort studies to reduce the cost associated with covariate measurement. In many such studies the number of covariates is very large, so an efficient variable selection method is necessary. In this paper,
Periodontitis and Sleep Disordered Breathing in the Hispanic Community Health Study/Study of Latinos
Autor:
Phyllis C. Zee, Richard H. Singer, Alberto R. Ramos, Anne E. Sanders, James D. Beck, Tracy L. Finlayson, Greg Essick, Susan Redline, Jose S. Loredo, Jianwen Cai, Shirley M. Beaver, Janice M. Barnhart, Monik C. Jimenez
Publikováno v:
Sleep. 38:1195-1203
STUDY OBJECTIVES To investigate the association between sleep disordered breathing (SDB) and severe chronic periodontitis. DESIGN Cross-sectional data analysis from the Hispanic Community Health Study/Study of Latinos. SETTING Community-based setting
Autor:
Alberto R. Ramos, Phyllis C. Zee, Krista M. Perreira, Jianwen Cai, Donglin Zeng, Hector M. González, Yasmin Mossavar-Rahmani, Susan Redline, Martha L. Daviglus, Linda C. Gallo, Wassim Tarraf
Publikováno v:
Sleep. 42:A278-A279
Autor:
Paul D. Sorlie, Leopoldo Raij, Martha L. Daviglus, Robert C. Kaplan, Neil Schneiderman, Lisa M. LaVange, Jianwen Cai, Gregory A. Talavera, Annie Green Howard, Sylvia Wassertheil-Smoller, M. Larissa Avilés-Santa, Matthew A. Allison
Publikováno v:
American journal of hypertension, vol 27, iss 6
background The prevention and control of hypertension is an essential component for reducing the burden of cardiovascular diseases. Here we describe the prevalence of hypertension in diverse Hispanic/Latino background groups and describe the proporti
Publikováno v:
Biometrika. 100:695-708
The case-cohort study design, used to reduce costs in large cohort studies, involves a random sample of the entire cohort, called the subcohort, augmented with subjects having the disease of interest but not in the subcohort sample. When several dise